Geolocated activity
Plot items and entities on the map with precision radii and time sliders.
Subreddit and keyword monitoring. Stream open-source and sensor feeds into one correlated picture, with entities, places and timelines.
Live demo workspace with fictional data · no signup, no credentials needed

Reddit on its own answers half the question. Joined with the rest of your stack in Kimo, it answers the other half.
Plot items and entities on the map with precision radii and time sliders.
Link people, vessels, organisations and places across feeds automatically.
Detect when a topic or entity accelerates beyond its baseline in a region.
Kimo maps Reddit into clean, typed tables with primary keys and incremental cursors, so syncs stay fast and joins just work.
| Field | Type | Notes |
|---|---|---|
| item_id | id | Primary key |
| source | enum | Low-cardinality dimension |
| published_at | timestamp | Incremental cursor |
| language | enum | Low-cardinality dimension |
| text | string |
A starter model Kimo suggests the moment Reddit is connected. Every join is editable.
Items and entities joined with geotags and other feeds on entity id and time window.

Fictional data · hover the chart for daily values
No engineers, no pipelines to maintain. Kimo asks for the minimum access it needs and tells you exactly what it will read.
Use a dedicated key scoped to read access, so it can be rotated independently.
Keys are encrypted with a per-workspace key and never shown again.
Pick which objects to sync, starting with items.
Kimo tests the key, backfills history and keeps it fresh (real time).
Read-only, encrypted, revocable. Credentials are encrypted with a per-workspace key, never logged, and can be rotated without breaking your models.
Reddit is ingested as a stream. New records typically appear in models and maps within a few seconds.
Try it on the live demo workspace first, then connect your own account when you are ready.